Model Comparison

GLM-5 vs Step-3.5-Flash

GLM-5 significantly outperforms across most benchmarks. Step-3.5-Flash is 8.9x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GLM-5 outperforms in 3 benchmarks (BrowseComp, SWE-Bench Verified, Terminal-Bench 2.0), while Step-3.5-Flash is better at 0 benchmarks.

GLM-5 significantly outperforms across most benchmarks.

Tue Apr 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Step-3.5-Flash costs less

For input processing, GLM-5 ($1.00/1M tokens) is 10.0x more expensive than Step-3.5-Flash ($0.10/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 8.0x more expensive than Step-3.5-Flash ($0.40/1M tokens).

In conclusion, GLM-5 is more expensive than Step-3.5-Flash.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Apr 07 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerUnknown Organization
StepFun
Step-3.5-Flash
Input tokens$0.10
Output tokens$0.40
Best providerStepFun
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

548.0B diff

GLM-5 has 548.0B more parameters than Step-3.5-Flash, making it 279.6% larger.

Zhipu AI
GLM-5
744.0Bparameters
StepFun
Step-3.5-Flash
196.0Bparameters
744.0B
GLM-5
196.0B
Step-3.5-Flash

Context Window

Maximum input and output token capacity

GLM-5 accepts 200,000 input tokens compared to Step-3.5-Flash's 65,536 tokens. GLM-5 can generate longer responses up to 128,000 tokens, while Step-3.5-Flash is limited to 8,192 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
StepFun
Step-3.5-Flash
Input65,536 tokens
Output8,192 tokens
Tue Apr 07 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Step-3.5-Flash uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

GLM-5

MIT

Open weights

Step-3.5-Flash

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Step-3.5-Flash was released on 2026-02-02.

GLM-5 is 0 month newer than Step-3.5-Flash.

GLM-5

Feb 11, 2026

1 months ago

1w newer
Step-3.5-Flash

Feb 2, 2026

2 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GLM-5 is available from ZAI. Step-3.5-Flash is available from StepFun.

GLM-5

z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M

Step-3.5-Flash

stepfun logo
StepFun
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Larger context window (200,000 tokens)
Higher BrowseComp score (75.9% vs 69.0%)
Higher SWE-Bench Verified score (77.8% vs 74.4%)
Higher Terminal-Bench 2.0 score (56.2% vs 51.0%)
StepFun
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
StepFun
Step-3.5-Flash

FAQ

Common questions about GLM-5 vs Step-3.5-Flash

GLM-5 significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and Step-3.5-Flash is made by StepFun. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. Step-3.5-Flash scores AIME 2025: 97.3%, Tau-bench: 88.2%, LiveCodeBench v6: 86.4%, IMO-AnswerBench: 85.4%, SWE-Bench Verified: 74.4%.
Step-3.5-Flash is 10.0x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via z. Step-3.5-Flash costs $0.10/M input and $0.40/M output via stepfun.
GLM-5 supports 200K tokens and Step-3.5-Flash supports 66K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (200K vs 66K), input pricing ($1.00 vs $0.10/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
GLM-5 is developed by Zhipu AI and Step-3.5-Flash is developed by StepFun.